Ai for Hrm and Leadership

The course "AI in HRM and Leadership" aims to contribute to the MSc Management of Human Resource: people, data, and intelligent technologies by equipping students with a comprehensive understanding of how artificial intelligence is transforming HRM, work, and leadership. The course will enable students to critically analyze the opportunities, limitations, and risks associated with the adoption of AI and analytics in HRM systems and organizational processes. By developing a critical and evidence-based perspective on AI adoption, students will learn how to evaluate AI-enabled HRM practices, redesign HRM processes, and address the managerial and ethical challenges emerging from the use of AI in organizations. Particular attention will be devoted to the implications of AI for strategic HRM, job design, inclusion, fairness, and leadership in increasingly data-driven and AI-augmented workplaces.

At the end of this course, students will be able to:
1. Illustrate the main theoretical perspectives on the relationship between AI and HRM, including different views of technology adoption and use in organizations.
2. Critically debate the strategic role of the HRM function in the AI era, with particular attention to how AI may contribute to value creation and sustained competitive advantage.
3. Identify the main success factors, barriers, and implementation steps involved in adopting AI-enabled HRM systems and processes.
4. Analyze how AI adoption affects work design, tasks, roles, and employee experience through the application of established job design frameworks.
5. Describe the impact of AI on key HRM practices, including attraction, recruitment and selection, onboarding, training and development, performance management, employee engagement, and retention.
6. Utilize generative AI tools to support the redesign of HRM practices, while critically assessing their reliability, limitations, and managerial implications.
7. Critically examine the ethical implications of AI in HRM, particularly in relation to transparency, accountability, inclusion, fairness, privacy, and employee well-being.
8. Identify the main managerial challenges involved in leading AI-enabled HRM initiatives, including technology adoption, change management, employee acceptance, and the development of a digital mindset.
9. Analyze the evolving role of leaders in AI-augmented organizations, with particular attention to the development of critical thinking skills and the responsible use of AI to enhance organizational performance and employee engagement.